Triple
T2428857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lismore |
E52794
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Casino |
E249689
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Casino | Statement: [Lismore, nearbyTown, Casino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Casino Context triple: [Lismore, nearbyTown, Casino]
-
A.
Casino
chosen
Casino is a town in northern New South Wales, Australia, known as a regional service centre and gateway to the surrounding agricultural and beef-producing areas.
-
B.
Casino
"Casino" is a 1995 crime drama film directed by Martin Scorsese that explores the rise and fall of a Las Vegas casino boss and the mob's influence over the gambling industry.
-
C.
The Gambler
The Gambler is a classic country song and album by Kenny Rogers that tells the story of life lessons learned from a seasoned card player, becoming one of his signature hits.
-
D.
The Gambler
The Gambler is a short novel by Fyodor Dostoevsky that explores obsession, addiction, and psychological turmoil through the story of a tutor ensnared by roulette and destructive love.
-
E.
Casino Ajax
Casino Ajax is a gaming and entertainment venue located in Ajax, Ontario, offering slot machines, electronic table games, and related amenities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc99e1b548190aca9a0ba72a9b0f7 |
completed | March 7, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0a5fc208190a2479de4b1344759 |
completed | March 9, 2026, 4:09 p.m. |
Created at: March 6, 2026, 9:43 p.m.